The Rural Household Multiple Indicator Survey (RHoMIS) has been used to access and analyse data collected from 13,000-plus households from 21 countries.
As part of efforts to build the capacity of pastoralists and livestock sector stakeholders to respond and adapt to these changes in climate change in rangelands such as Kajiado’s and other livestock production systems in eastern Africa, the International Livestock Research Institute (ILRI) is implementing the Programme for Climate Smart Livestock (PCSL) in Ethiopia, Kenya and Uganda.
Originally posted on ILRI news:
Key indicator groups (modules) generated by all RHoMIS applications (Fig. 1 from: The Rural Household Multiple Indicator Survey, data from 13,310 farm households in 21 countries). Out this week is the first public release of a huge dataset generated by recent surveys of more than 13,000 households in 21 countries…
Participatory Rangeland Management is now being integrated into a One Health approach by ILRI (International Livestock Research Institute) and partners VSF-Suisse (Vétérinaires sans Frontières Suisse) and CCM (Comitato Collaborazione Medica). This combines the health of people, livestock and rangelands, and the linkages between them.
From January 2020 onwards the entire RHoMIS system will be upgraded to version 1.6. This update will bring together the various elements of the toolkit into a coherent whole.
Following the national launch of the four-year Program for Climate-Smart Livestock Systems in Uganda in April, a local launch meeting was held in the southwestern district of Mbarara on 11 September 2019.
Our RHoMIS work has led to a unique harmonised database of quantitative information on smallholder livelihoods in low and middle income countries (now containing interviews of more than 28,000 households in 31 countries). We are now in full force analysing these data to identify pathways towards food security, and underpin strategic studies trying to identify the drivers of diverse diets and possible trade offs between agricultural production intensification and key welfare indicators like gender equity.